Marianna Pensky | Academic Influence

Marianna Pensky's AcademicInfluence.com Rankings

Marianna Pensky

Mathematics

#7202

World Rank

#9834

Historical Rank

Differential Geometry

#131

World Rank

#153

Historical Rank

Geometry

#247

World Rank

#341

Historical Rank

Group Theory

#376

World Rank

#432

Historical Rank

mathematics Degrees

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Mathematics

Marianna Pensky's Degrees

PhD Mathematics Moscow State University
Masters Mathematics Moscow State University
Bachelors Mathematics Moscow State University

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Why Is Marianna Pensky Influential?

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According to Wikipedia, Marianna Pensky is a professor at the University of Central Florida. Her research interests lie in the areas of theoretical and applied statistics. She is author of The Stress-strength Model and Its Generalizations: Theory and Applications .

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Marianna Pensky's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Sparse Convolutional Neural Networks (2015) (675)
The stress-strength model and its generalizations : theory and applications (2003) (319)
Adaptive wavelet estimator for nonparametric density deconvolution (1999) (240)
The stress-strength model and its generalizations (2013) (171)
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments (2008) (65)
Spectral clustering in the dynamic stochastic block model (2017) (59)
A Facile Nanoparticle Immunoassay for Cancer Biomarker Discovery (2011) (55)
Wavelet kernel penalized estimation for non-equispaced design regression (2006) (51)
On Non-Equally Spaced Wavelet Regression (2001) (49)
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments (2007) (48)
On optimality of Bayesian testimation in the normal means problem (2007) (48)
Dynamic network models and graphon estimation (2016) (46)
Functional deconvolution in a periodic setting: Uniform case (2007) (45)
Laplace deconvolution on the basis of time domain data and its application to dynamic contrast‐enhanced imaging (2014) (36)
Empirical bayes estimation of reliability characteristics for an exponential family (1999) (29)
Multivariate classification of animal communication signals: A simulation-based comparison of alternative signal processing procedures using electric fishes (2008) (26)
Classification with many classes: Challenges and pluses (2015) (25)
Bayesian Decision Theoretic Scale-Adaptive Estimation of a Log-Spectral Density (2003) (25)
Density deconvolution based on wavelets with bounded supports (2002) (25)
On convergence rates equivalency and sampling strategies in functional deconvolution models (2009) (25)
Simultaneous Wavelet Deconvolution in Periodic Setting (2006) (22)
Frequentist optimality of Bayesian wavelet shrinkage rules for Gaussian and non-Gaussian noise (2006) (21)
Dicussion on the meeting on ‘Statistical approaches to inverse problems’ (2004) (18)
FREQUENTIST OPTIMALITY OF BAYES FACTOR ESTIMATORS IN WAVELET REGRESSION MODELS (2007) (18)
Multichannel Deconvolution with Long-Range Dependence: A Minimax Study (2013) (17)
Laplace deconvolution and its application to Dynamic Contrast Enhanced imaging (2012) (14)
Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity (2014) (14)
Anisotropic de-noising in functional deconvolution model with dimension-free convergence rates (2012) (14)
Laplace deconvolution with noisy observations (2011) (13)
EMPIRICAL BAYES ESTIMATION BASED ON WAVELETS (1998) (13)
Confidence Intervals for Reliability and Quantile Functions With Application to NASA Space Flight Data (2006) (13)
Multichannel boxcar deconvolution with growing number of channels (2011) (12)
Sparse high-dimensional varying coefficient model: Nonasymptotic minimax study (2013) (11)
Solution of linear ill-posed problems using overcomplete dictionaries (2014) (10)
Clustering time-course microarray data using functional Bayesian infinite mixture model (2012) (10)
Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity (2011) (10)
Nonparametric Empirical Bayes Estimation of the Matrix Parameter of the Wishart Distribution (1999) (9)
Rates of convergence of empirical Bayes tests for a normal mean (2003) (9)
Bayesian models for two-sample time-course microarray experiments (2009) (9)
Extended linear empirical bayes estimation (2000) (9)
Bayesian feature selection for classification with possibly large number of classes (2011) (9)
SWIFT: Sparse Withdrawal of Inliers in a First Trial (2015) (8)
Anisotropic functional Laplace deconvolution (2017) (8)
Density Deconvolution of Different Conditional Distributions (2002) (8)
Adaptive wavelet empirical Bayes estimation of a location or a scale parameter (2000) (8)
Estimation and clustering in popularity adjusted block model (2021) (7)
Functional Deconvolution in a Periodic Setting (2007) (6)
Locally Adaptive Wavelet Empirical Bayes Estimation of a Location Parameter (2002) (6)
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network (2021) (5)
Nonparametric Empirical Bayes Estimation via Wavelets (1999) (5)
Spatially inhomogeneous linear inverse problems with possible singularities (2012) (5)
Sparse Popularity Adjusted Stochastic Block Model (2019) (4)
Application of Transformations in Parametric Inference (2008) (4)
Quantificational and statistical analysis of the differences in centrosomal features of untreated lung cancer cells and normal cells. (2010) (4)
Adaptive Nonparametric Empirical Bayes Estimation Via Wavelet Series: the Minimax Study (2012) (4)
Testing for Unit Roots in a Nearly Nonstationary Spatial Autoregressive Process (2000) (4)
Estimation of Piecewise-smooth Functions by Amalgamated Bridge Regression Splines (2007) (3)
Estimation of probabilities of linear inequalities for independent elliptic random vectors (2003) (3)
Solution of linear ill-posed problems by model selection and aggregation (2017) (3)
EMPIRICAL BAYES ESTIMATION OF A LOCATION PARAMETER (1997) (3)
Decision theory classification of high-dimensional vectors based on small samples (2008) (2)
Density Deconvolution with Small Berkson Errors (2018) (2)
Sparse One-Grab Sampling with Probabilistic Guarantees (2019) (2)
Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems? (2020) (2)
Probabilistic Sparse Subspace Clustering Using Delayed Association (2018) (2)
Estimation and Clustering in Popularity Adjusted Stochastic Block Model (2019) (2)
The Hierarchy of Block Models (2020) (2)
Estimation of delta-contaminated density of the random intensity of Poisson data (2015) (2)
Statistical Inference in Heterogeneous Block Model (2020) (2)
Feature selection and classication of high-dimensional normal vectors with possibly large number of classes (2015) (1)
ESTIMATION OF A SMOOTH DENSITY FUNCTION USING MEYER-TYPE WAVELETS (1999) (1)
Statistical estimation of locations of lightning events (1999) (1)
De-noising procedures for frame operators (2013) (1)
Statistical Applications in Genetics and Molecular Biology (2007) (1)
Solution of linear ill-posed problems using flexible dictionaries (2014) (1)
Clustering of Diverse Multiplex Networks (2021) (1)
Clustering in statistical ill-posed linear inverse problems. (2018) (1)
Non-asymptotic approach to varying coefficient model (2012) (1)
BAYESIAN ESTIMATION OF LOCATIONS OF LIGHTNING EVENTS (2016) (1)
Solution of Linear Ill-Posed Problems Using Random Dictionaries (2016) (1)
Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” (2022) (1)
The Theory and Some Useful Approaches (2003) (0)
Deconvolution (2019) (0)
Some Selected Special Cases (2003) (0)
Sparse One-Time Grab Sampling of Inliers (2018) (0)
Parametric Statistical Inference (2003) (0)
The Stress-Strength Models: Mathematics, History, and Applications (2003) (0)
Nonparametric Regression Estimation with Incomplete Data: Minimax Global Convergence Rates and Adaptivity (2011) (0)
Bayesian Models for the Multi-sample Time-Course Microarray Experiments (2011) (0)
ST ] 2 9 M ar 2 00 7 Functional Deconvolution in a Periodic Setting (2007) (0)
Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering (2012) (0)
A ug 2 00 9 On Convergence Rates Equivalency and Sampling Strategies in a Functional Deconvolution Model (2009) (0)
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of “Vintage Factor Analysis with Varimax Performs Statistical Inference” (2023) (0)
O ct 2 01 8 Density Deconvolution with Small Berkson Errors (2018) (0)
Parametric Point Estimation (2003) (0)
J ul 2 01 6 Dynamic network models and graphon estimation (2016) (0)
Estimation of a delta-contaminated density of a random intensityof Poisson data (2016) (0)
Sparse Subspace Clustering in Diverse Multiplex Network Model (2022) (0)
Empirical Bayes Estimation of Reliability (2008) (0)
Model Selection for Classification with a Large Number of Classes (2014) (0)
A NEW APPROACH TO EMPIRICAL BAYES ESTIMATION WITH ERRORS IN VARIABLES (2002) (0)
Paper Session I-C - Reliability and Safety Prediction Methods For Mission and Spaceport Operations (2003) (0)
A note on estimation of functionals from indirect observations with or without sparsity (2014) (0)
Addendum (2003) (0)
Se p 20 07 Functional Wavelet Deconvolution in a Periodic Setting (2009) (0)
Applications and Examples (2003) (0)
ST ] 2 3 M ar 2 02 0 Is clustering advantageous in statistical ill-posed linear inverse problems (2020) (0)
Linear. empirical bayes estimation in the case of the wishart distribution (2000) (0)
Functional Wavelet Deconvolution in a Periodic Setting (2007) (0)
) Linking the Past to the Future-ACelebration of Space Apr 30 th , 1 : 30 PM-5 : 00 PM Paper Session IC-Reliability and Safety Prediction Methods For Mission and Spaceport Operations (2016) (0)
Denoising strategies for general finite frames (2018) (0)
SVM-like decision theoretical classification of high-dimensional vectors (2010) (0)
Multiscale Methods and Statistics: A Productive Marriage (2009) (0)
Application Of The Empirical Likelihood Method In Proportional Hazards Model (2020) (0)

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